Artificial Intelligence as a Surrogate for Inspection Time to Assess Completeness in Esophagogastroduodenoscopy: A Prospective, Randomized, Noninferiority Study
Inspection time of complete EGD can be significantly shortened by AI without compromising its quality. These findings provide crucial evidence to support that AI-assisted procedural completeness serves as an objective and effective quality indicator for EGD.
Authors
- Xin Gao (ORCID: https://orcid.org/0000-0002-5160-1725)
- K. J. Zhu (ORCID: https://orcid.org/0000-0002-4365-8043)
- Wen Wang (ORCID: https://orcid.org/0000-0002-2487-471X)
- Liwen Yao (ORCID: https://orcid.org/0000-0001-5412-9991)
- Chaijie Luo
- Wei Zhou (ORCID: https://orcid.org/0000-0001-9384-8710)
- Yuanjie Yu (ORCID: https://orcid.org/0000-0002-0924-0882)
- Huiyan Hu
- Jialing Li (ORCID: https://orcid.org/0000-0002-2777-0035)
- Honggang Yu (ORCID: https://orcid.org/0000-0002-1882-7060)
- Yanxia Li (ORCID: https://orcid.org/0000-0003-3191-6444)
- Hang You (ORCID: https://orcid.org/0000-0002-2637-4305)
- Zehua Dong (ORCID: https://orcid.org/0000-0002-6384-5567)
- Haisen Yin
- Wenhao Su (ORCID: https://orcid.org/0000-0003-1745-4722)
- Xia Tan
Institutions
- Wuhan University (CN)
- Wuhan Prevention and Treatment Center for Occupational Diseases (CN)
- Renmin Hospital of Wuhan University (CN)
- Artificial Intelligence in Medicine (Canada) (CA)
Publication Details
- Journal
- Clinical and Translational Gastroenterology
- Published
- 2025-03-24
- DOI
- https://doi.org/10.14309/ctg.0000000000000839
- Citations
- 1
- Primary Topic
- Gastric Cancer Management and Outcomes
- Type
- article
- Field-Weighted Citation Impact
- 1.52